A Cloud-based Mobile Privacy Protection System with Efficient Cache Mechanism

Wenyun Dai, Longbin Chen


People increasingly rely on their mobile devices and use them to store a lot of data. Some of the data are personal and private, whose leakage leads to users' privacy harm. Meanwhile, mobile apps and services over-collect users' data due to the coarse-grained access control approach utilized by the mobile operating system. We propose a cloud-based approach to provide fine-grained access control toward data requests. We add privacy level, as a new metadata, to data and manage the storage using different policies correspondingly. However, the proposed approach leads to performance decreases because of the extra communication cost. We also introduce a novel cache mechanism to eliminate the extra cost by storing non-private and popular data on the mobile device. As part of our cache mechanism, we design a user-preference-based ordering method along with the principle of locality to determine how popular some data are. We also design a configurable refresh policy to improve the overall performance. Finally, we evaluate our approach using a real phone in a simulated environment. The results show that our approach can keep the response time of all data requests within a reasonable range and the cache mechanism can further improve the performance.

To cite this article: W. Dai and L. Chen, “A Cloud-based Mobile Privacy Protection System with Efficient Cache Mechanism,” CIT. Journal of Computing and Information Technology, vol. 29, no. 4, pp. 219–234, 2021, doi: 10.20532/cit.2021.1005295.


security and privacy, access control, cloud based storage, hierarchical storage management

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